Evidence map›Paper›PMID 35444811›Full record

ArticleDigital health

Human-centered design exploration with Kenyan health workers on proposed digital mental health screening and intervention training development: Thematic analysis of user preferences and needs.

Manasi Kumar, Paul Macharia, Vincent Nyongesa, Joseph Kathono, Obadia Yator, Shillah Mwaniga, Mary McKay, Keng Yen Huang, Rahul Shidhaye, Simon Njuguna and 1 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
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  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Manasi KumarBrain and Mind Institute, Aga Khan University, Kenya.ORCID https://orcid.org/0000-0002-9773-8014
Paul MachariaConsulting in Health Informatics, Nairobi, Kenya.
Vincent NyongesaDepartment of Psychiatry, University of Nairobi, Kenya.
Joseph KathonoDepartment of Psychiatry, University of Nairobi, Kenya.
Obadia YatorDepartment of Psychiatry, University of Nairobi, Kenya.
Shillah MwanigaNairobi Metropolitan Services, Kenya.
Mary McKayWashington University at St Louis, St Louis, MO, USA.
Keng Yen HuangNYU Grossman School of Medicine, New York University, NY, USA.
Rahul ShidhayePravara Institute of Medical Sciences, Loni, Maharashtra, India.
Simon NjugunaMinistry of Health, Government of Kenya, Nairobi, Kenya.
Shekhar SaxenaHarvard University, Cambridge, MA, USA.

Funding

Mapping impact and developing mitigation strategies for climate change-mental health nexus in the context of vulnerable adolescent populations in KenyaK43TW010716 · FIC · UNIVERSITY OF NAIROBI · PI KUMAR, MANASI · 2018 to 2022
$648k
FIC NIH HHS K43 TW010716
6 · The paper itself

Abstract

Background: Health providers' perceived sense of knowledge, competency, and self-efficacy to support the needs of their patients contributes to optimal patient health outcomes. With regards to mental health service delivery in Kenya, this area needs further exploration. Guided by the e-health technology acceptance mode, the needs and preferences of health care providers around mental health training for clinical management and their ability to intervene in peripartum adolescent mental health care are explored. We probed how well-equipped service providers are, their engagement with technology to learn and offer services. The health care provider's technology use preferences were also explored. Method: Guided by a human-centered design-focused qualitative inquiry we interviewed 20 specialists around their needs, perspectives, and preferences for digitized mental health screening and intervention. Mean age was 44.2 years, (range of 32-58 years), 25% (5) males and 75% (15) females. After a written consenting process, the online interviews (30-45 min) were conducted in April 2021, once personal information was de-identified interviews were transcribed and coded. Thematic analysis was used and we combined rapid appraisal of Google Jamboard online storyboards to do individual human-centered design personas alongside. Results: Our participants were well-exposed to digital technologies. Prohibitive costs of data bundles, lack of funds for consistent online engagement, high workload, and instability of access to appropriate gadgets were found to be barriers to e-health training. Emerging opportunities were well-identified adolescent mental health service and intervention needs, willingness to take online courses offered on learning platforms, and wish for these to be disseminated through diverse social media. Other recommendations were the need to have a user-friendly interface such as data-light engaging and practical materials including animations, short, group-based learning. Conclusion: Understanding contextual factors that influence perceived usefulness and ease of use of the remote/digital components would be critical for e-training development and its uptake.

Indexed as

health care workersHuman-centered designmental health training and servicesperipartum adolescent mental healthtechnology acceptance model

Identifiers

PMID35444811
PMCPMC9014722

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.